Publications by Tag

The following tags appear in the publications listed in the review:

AAAI ACCV ACL Arxiv BMVC CIKM CIVR CNN CVPR CVPRW Case Study Cross Modal Cross-Modal Dataset Deep Hashing Deep Learning ECCV ECIR FOCS GAN Has Code Hash Code ICCV ICIP ICLR ICME ICML ICMR ICPR IJCAI IJCV Image Retrieval JCSS KDD LSH LSTM MM NAACL NIPS Quantisation RNN SCG SDM SIGIR SIGMOD Self-Supervised Semi-Supervised Skewed Data Spectral Streaming Data Supervised Survey Paper TIP TKDE TNNLS TOIS TOM TPAMI Text Retrieval Unsupervised VLDB Video Retrieval WWW Weakly Supervised

Tags

See below a list of all tags and the related papers

🏷 AAAI

• Large-scale supervised multimodal hashing with semantic correlation maximization D. Zhang, W. Li
• Cross-Modal Similarity Learning via Pairs, Preferences, and Active Supervision Yi Zhen, Piyush Rai, Hongyuan Zha, and Lawrence Carin
• Deep Hashing Network for Efficient Similarity Retrieval Han Zhu, Mingsheng Long, Jianmin Wang, Yue Cao
• Column Sampling Based Discrete Supervised Hashing Wang-Cheng Kang, Wu-Jun Li, Zhi-Hua Zhou
• Affinity Preserving Quantization for Hashing: A Vector Quantization Approach to Learning Compact Binary Codes Z. Wang, L. Duan, T. Huang, W. Gao
• Collective Deep Quantization for Efficient Cross-Modal Retrieval Yue Cao, Mingsheng Long, Jianmin Wang, Shichen Liu
• SSAH: Semi-supervised Adversarial Deep Hashing with Self-paced Hard Sample Generation Sheng Jin, Shangchen Zhou, Yao Liu, Chao Chen, Xiaoshuai Sun, Hongxun Yao, Xiansheng Hua
• Online Hashing with Efficient Updating of Binary Codes Zhenyu Weng, Yuesheng Zhu

🏷 ACCV

• Fast Approximate Nearest-Neighbor Field by Cascaded Spherical Hashing I. Torres-Xirau, J. Salvador, E. Pérez-Pellitero

🏷 ACL

• Variable Bit Quantisation for LSH S. Moran, V. Lavrenko, and M. Osborne
• NASH: Toward End-to-End Neural Architecture for Generative Semantic Hashing Dinghan Shen, Qinliang Su, Paidamoyo Chapfuwa, Wenlin Wang, Guoyin Wang, Lawrence Carin, Ricardo Henao

🏷 Arxiv

• Deep Saliency Hashing for Fine-grained Retrieval Sheng Jin, Hongxun Yao, Xiaoshuai Sun, Shangchen Zhou, Lei Zhang, Xiansheng Hua
• Learning to Hash Robustly, with Guarantees Alexandr Andoni, Daniel Beaglehole

🏷 BMVC

• Correlation Autoencoder Hashing for Supervised Cross-Modal Search Yue Cao, Mingsheng Long, Jianmin Wang, Han Zhu
• Push for Quantization: Deep Fisher Hashing Yunqiang Li, Wenjie Pei, Yufei zha, Jan van Gemert

🏷 CIKM

• MoBoost: A Self-improvement Framework for Linear-based Hashing Xingbo Liu, Xiushan Nie, Xiaoming Xi, Lei Zhu, Yilong Yin

🏷 CIVR

• NUS-WIDE: a real-world web image database from National University of Singapore T. Chua, J. Tang, R. Hong, H. Li, Z. Luo, Y. Zheng

🏷 CNN

• Simultaneous Feature Learning and Hash Coding with Deep Neural Networks H. Lai, Y. Pan, Y. Liu, S. Yan
• Deep Visual-Semantic Hashing for Cross-Modal Retrieval Yue Cao, Mingsheng Long, Jianmin Wang, Qiang Yang, Philip S. Yu
• Deep Semantic Hashing with Generative Adversarial Networks Zhaofan Qiu, Yingwei Pan, Ting Yao, Tao Mei
• Greedy Hash: Towards Fast Optimization for Accurate Hash Coding in CNN Shupeng Su, Chao Zhang, Kai Han, Yonghong Tian
• Hashing with Binary Matrix Pursuit F. Cakir, K. He, S. Sclaroff
• Deep Domain Adaptation Hashing with Adversarial Learning Fuchen Long, Ting Yao, Qi Dai, Xinmei Tian, Jiebo Luo, Tao Mei
• Push for Quantization: Deep Fisher Hashing Yunqiang Li, Wenjie Pei, Yufei zha, Jan van Gemert

🏷 CVPR

• Semi-supervised hashing for scalable image retrieval J. Wang, S. Kumar, and S. Chang
• Iterative Quantization: A Procrustean Approach to Learning Binary Codes Y. Gong, S. Lazebnik
• Spherical Hashing J. Heo, Y. Lee, J. He, S. Chang, S. Yoon
• Fast supervised hashing with decision trees for high-dimensional data Guosheng Lin, Chunhua Shen, Qinfeng Shi, Anton van den Hengel, and David Suter.
• Collective Matrix Factorization Hashing for Multimodal data G. Ding, Y. Guo, J. Zhou
• Locally Linear Hashing for Extracting Non-Linear Manifolds G. Irie, Z. Li, X. Wu, S. Chang
• Deep Hashing for Compact Binary Codes Learning V. Liong, J. Lu, G. Wang, P. Moulin, J. Zhou
• Hashing with Binary Autoencoders M. Carreira-Perpinan, R. Raziperchikolaei
• Deep learning of binary hash codes for fast image retrieval Kevin Lin, Huei-Fang Yang, Jen-Hao Hsiao, Chu-Song Chen
• Simultaneous Feature Learning and Hash Coding with Deep Neural Networks H. Lai, Y. Pan, Y. Liu, S. Yan
• Deep Semantic Ranking Based Hashing for Multi-Label Image Retrieval F. Zhao, Y. Huang, L. Wang, and T. Tan
• Semantics-Preserving Hashing for Cross-View Retrieval Zijia Lin, Guiguang Ding, Mingqing Hu and Jianmin Wang
• Efficient Training of Very Deep Neural Networks for Supervised Hashing Ziming Zhang, Yuting Chen, Venkatesh Saligrama
• Deep Cross-Modal Hashing Qing-Yuan Jiang, Wu-Jun Li
• HashNet: Deep Learning to Hash by Continuation Zhangjie Cao, Mingsheng Long, Jianmin Wang, Philip S. Yu
• Discretely Coding Semantic Rank Orders for Supervised Image Hashing Li Liu, Ling Shao, Fumin Shen, Mengyang Yu
• HashGAN: Deep Learning to Hash with Pair Conditional Wasserstein GAN Yue Cao, Mingsheng Long, Bin Liu, Jiamin Wang
• Deep Cauchy Hashing for Hamming Space Retrieval Yue Cao, Mingsheng Long, Bin Liu, Jianmin Wang
• Hashing as Tie-Aware Learning to Rank K. He, F. Cakir, S. Bargal, S. Sclaroff
• Deep Hashing via Discrepancy Minimization Zhixiang Chen, Xin Yuan, Jiwen Lu*, Qi Tian, and Jie Zhou,
• Weakly Supervised Deep Image Hashing through Tag Embeddings Vijetha Gattupalli, Yaoxin Zhuo, Baoxin Li
• DistillHash: Unsupervised Deep Hashing by Distilling Data Pairs Erkun Yang, Tongliang Liu, Cheng Deng, Wei Liu, Dacheng Tao
• K-Nearest Neighbors Hashing Xiangyu He, Peisong Wang, Jian Cheng
• Central Similarity Quantization for Efficient Image and Video Retrieval Li Yuan, Tao Wang, Xiaopeng Zhang, Francis EH Tay, Zequn Jie, Wei Liu, Jiashi Feng
• Central Similarity Hashing for Efficient Image and Video Retrieval Li Yuan, Tao Wang, Xiaopeng Zhang, Zequn Jie, Francis EH Tay, Jiashi Feng
• Creating Something from Nothing: Unsupervised Knowledge Distillation for Cross-Modal Hashing Hengtong Hu, Lingxi Xie, Richang Hong, Qi Tian
• Auto-Encoding Twin-Bottleneck Hashing Yuming Shen, Jie Qin, Jiaxin Chen, Mengyang Yu, Li Liu, Fan Zhu, Fumin Shen, Ling Shao
• Self-Supervised Video Hashing via Bidirectional Transformers Shuyan Li, Xiu Li, Jiwen Lu, Jie Zhou
• Prototype-Supervised Adversarial Network for Targeted Attack of Deep Hashing Xunguang Wang, Zheng Zhang, Baoyuan Wu, Fumin Shen, Guangming Lu

🏷 CVPRW

• Adaptive Labeling for Deep Learning to Hash Huei-Fang Yang, Cheng-Hao Tu, Chu-Song Chen

🏷 Case Study

• Locality-Sensitive Hashing for Earthquake Detection: A Case Study of Scaling Data-Driven Science Kexin Rong, Clara E. Yoon, Karianne J. Bergen, Hashem Elezabi,Peter Bailis, Philip Levis, Gregory C. Beroza

🏷 Cross Modal

• Robust Unsupervised Cross-modal Hashing for Multimedia Retrieval Miaomiao Cheng, Liping Jing, Michael K. Ng

🏷 Cross-Modal

• Learning hash functions for cross-view similarity search S. Kumar, R. Udupa
• Co-Regularized Hashing for Multimodal Data Y. Zhen, D. Yeung
• Comparing apples to oranges: a scalable solution with heterogeneous hashing M. Ou, P. Cui, F. Wang, J. Wang, W. Zhu, S. Yang
• Inter-Media Hashing for Large-Scale Retrieval from Heterogeneous Data Sources J. Song, Y. Yang, Y. Yang, Z. Huang, H. Shen
• Linear cross-modal hashing for efficient multimedia search Xiaofeng Zhu, Zi Huang, Heng Tao Shen, Xin Zhao
• Collective Matrix Factorization Hashing for Multimodal data G. Ding, Y. Guo, J. Zhou
• Large-scale supervised multimodal hashing with semantic correlation maximization D. Zhang, W. Li
• Cross-Modal Similarity Learning via Pairs, Preferences, and Active Supervision Yi Zhen, Piyush Rai, Hongyuan Zha, and Lawrence Carin
• Multi-View Complementary Hash Tables for Nearest Neighbor Search Xianglong Liu, Lei Huang, Cheng Deng, Jiwen Lu and Bo Land
• Semantics-Preserving Hashing for Cross-View Retrieval Zijia Lin, Guiguang Ding, Mingqing Hu and Jianmin Wang
• Semantic Topic Multimodal Hashing for Cross-Media Retrieval Di Wang, Xinbo Gao, Xiumei Wang and Lihuo He
• Regularised Cross-Modal Hashing S. Moran, V. Lavrenko
• Deep Visual-Semantic Hashing for Cross-Modal Retrieval Yue Cao, Mingsheng Long, Jianmin Wang, Qiang Yang, Philip S. Yu
• Correlation Autoencoder Hashing for Supervised Cross-Modal Search Yue Cao, Mingsheng Long, Jianmin Wang, Han Zhu
• Cross-Modal Deep Variational Hashing Venice Erin Liong, Jiwen Lu, Yap-Peng Tan, and Jie Zhou
• Deep Cross-Modal Hashing Qing-Yuan Jiang, Wu-Jun Li
• Correlation Autoencoder Hashing for Supervised Cross-Modal Search Yue Cao, Mingsheng Long, Jianmin Wang, Han Zhu
• Collective Deep Quantization for Efficient Cross-Modal Retrieval Yue Cao, Mingsheng Long, Jianmin Wang, Shichen Liu
• SCRATCH: A Scalable Discrete Matrix Factorization Hashing for Cross-Modal Retrieval Chuan-Xiang Li , Zhen-Duo Chen, Peng-Fei Zhang, Xin Luo, Liqiang Nie, Wei Zhang, Xin-Shun Xu
• A Two-step Cross-modal Hashing by Exploiting Label Correlations and Preserving Similarity in Both Steps Zhen-Duo Chen, Yongxin Wang, Hui-Qiong Li, Xin Luo, Liqiang Nie, Xin-Shun
• Separated Variational Hashing Networks for Cross-Modal Retrieval Peng Hu, Xu Wang, Liangli Zhen, Dezhong Peng
• Semi-supervised Deep Quantization for Cross-modal Search Xin Wang, Wenwu Zhu, Chenghao Liu
• Deep Joint-Semantics Reconstructing Hashing for Large-Scale Unsupervised Cross-Modal Retrieval Shupeng Su, Zhisheng Zhong, Chao Zhang
• Online Multi-modal Hashing with Dynamic Query-adaption Xu Lu, Lei Zhu, Zhiyong Cheng, Liqiang Nie and Huaxiang Zhang
• Supervised Hierarchical Cross-Modal Hashing Changchang Sun, Xuemeng Song, Fuli Feng, Wayne Xin Zhao, Hao Zhang and Liqiang Nie
• Online Collective Matrix Factorization Hashing for Large-Scale Cross-Media Retrieval Di Wang, Quan Wang, Yaqiang An, Xinbo Gao, Yumin Tian
• Fast Discrete Cross-Modal Hashing Based on Label Relaxation and Matrix Factorization Donglin Zhang, Xiaojun Wu, Zhen Liu, Jun Yu, Josef Kittler
• Joint-modal Distribution-based Similarity Hashing for Large-scale Unsupervised Deep Cross-modal Retrieval Song Liu, Shengsheng Qian, Yang Guan, Jiawei Zhan, Long Ying
• Creating Something from Nothing: Unsupervised Knowledge Distillation for Cross-Modal Hashing Hengtong Hu, Lingxi Xie, Richang Hong, Qi Tian
• Nonlinear Robust Discrete Hashing for Cross-Modal Retrieval Zhan Yang, Jun Long, Lei Zhu, Wenti Huang
• High-order nonlocal Hashing for unsupervised cross-modal retrieval Peng-Fei Zhang, Yadan Luo, Zi Huang, Xin-Shun Xu, Jingkuan Song

🏷 Dataset

• The MNIST Database of Handwritten Digits Y. LeCun, C. Cortes, C. Burges
• LabelMe: a database and web-based tool for image annotation B. Russell, A. Torralba, K. Murphy, W. T. Freeman
• The MIR Flickr Retrieval Evaluation. M. J. Huiskes, M. S. Lew
• ImageNet: A large-scale hierarchical image database J. Deng, W. Dong, R. Socher, L. Li, K. Li, L. Fei-Fei
• Learning Multiple Layers of Features from Tiny Images A. Krizhevsky
• NUS-WIDE: a real-world web image database from National University of Singapore T. Chua, J. Tang, R. Hong, H. Li, Z. Luo, Y. Zheng
• A New Approach to Cross-Modal Multimedia Retrieval N. Rasiwasia, J. Costa Pereira, E. Coviello, G. Doyle, G. Lanckriet, R.Levy and N. Vasconcelos
• Microsoft COCO: Common Objects in Context Tsung-Yi Lin, Michael Maire, Serge Belongie, Lubomir Bourdev, Ross Girshick, James Hays, Pietro Perona, Deva Ramanan, C. Lawrence Zitnick, Piotr Dollar

🏷 Deep Hashing

• Neighborhood Preserving Hashing for Scalable Video Retrieval Shuyan Li, Zhixiang Chen, Jiwen Lu, Xiu Li, and Jie Zhou
• Two-Stream Deep Hashing With Class-Specific Centers for Supervised Image Search Cheng Deng, Erkun Yang, Tongliang Liu, Dacheng Tao
• SSAH: Semi-supervised Adversarial Deep Hashing with Self-paced Hard Sample Generation Sheng Jin, Shangchen Zhou, Yao Liu, Chao Chen, Xiaoshuai Sun, Hongxun Yao, Xiansheng Hua

🏷 Deep Learning

• Semantic Hashing R. Salakhutdinov, G. Hinton
• Deep Hashing for Compact Binary Codes Learning V. Liong, J. Lu, G. Wang, P. Moulin, J. Zhou
• Hashing with Binary Autoencoders M. Carreira-Perpinan, R. Raziperchikolaei
• Deep learning of binary hash codes for fast image retrieval Kevin Lin, Huei-Fang Yang, Jen-Hao Hsiao, Chu-Song Chen
• Simultaneous Feature Learning and Hash Coding with Deep Neural Networks H. Lai, Y. Pan, Y. Liu, S. Yan
• Deep Semantic Ranking Based Hashing for Multi-Label Image Retrieval F. Zhao, Y. Huang, L. Wang, and T. Tan
• Bit-Scalable Deep Hashing With Regularized Similarity Learning for Image Retrieval and Person Re-Identification R. Zhang, L. Lin, R. Zhang, W. Zuo, L. Zhang
• Deep Hashing Network for Efficient Similarity Retrieval Han Zhu, Mingsheng Long, Jianmin Wang, Yue Cao
• XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks M. Rastegari, V. Ordonez, J. Redmon, A. Farhadi
• Feature Learning based Deep Supervised Hashing with Pairwise Labels Wu-Jun Li, Sheng Wang and Wang-Cheng Kang
• Deep Visual-Semantic Hashing for Cross-Modal Retrieval Yue Cao, Mingsheng Long, Jianmin Wang, Qiang Yang, Philip S. Yu
• Efficient Training of Very Deep Neural Networks for Supervised Hashing Ziming Zhang, Yuting Chen, Venkatesh Saligrama
• Correlation Autoencoder Hashing for Supervised Cross-Modal Search Yue Cao, Mingsheng Long, Jianmin Wang, Han Zhu
• Cross-Modal Deep Variational Hashing Venice Erin Liong, Jiwen Lu, Yap-Peng Tan, and Jie Zhou
• Deep Cross-Modal Hashing Qing-Yuan Jiang, Wu-Jun Li
• Deep Supervised Discrete Hashing Qi Li, Zhenan Sun, Ran He, Tieniu Tan
• HashNet: Deep Learning to Hash by Continuation Zhangjie Cao, Mingsheng Long, Jianmin Wang, Philip S. Yu
• Correlation Autoencoder Hashing for Supervised Cross-Modal Search Yue Cao, Mingsheng Long, Jianmin Wang, Han Zhu
• Collective Deep Quantization for Efficient Cross-Modal Retrieval Yue Cao, Mingsheng Long, Jianmin Wang, Shichen Liu
• Deep Supervised Hashing for Multi-Label and Large-Scale Image Retrieval Dayan Wu, Zheng Lin, Bo Li, Mingzhen Ye, Weiping Wang
• Variational Deep Semantic Hashing for Text Documents Suthee Chaidaroon, Yi Fang
• Deep Semantic Hashing with Generative Adversarial Networks Zhaofan Qiu, Yingwei Pan, Ting Yao, Tao Mei
• Unsupervised Deep Hashing with Similarity-Adaptive and Discrete Optimization Fumin Shen, Yan Xu, Li Liu, Yang Yang, Zi Huang, Heng Tao Shen
• HashGAN: Deep Learning to Hash with Pair Conditional Wasserstein GAN Yue Cao, Mingsheng Long, Bin Liu, Jiamin Wang
• Towards Optimal Deep Hashing via Policy Gradient Xin Yuan, Liangliang Ren, Jiwen Lu, and Jie Zhou
• Deep Cauchy Hashing for Hamming Space Retrieval Yue Cao, Mingsheng Long, Bin Liu, Jianmin Wang
• Progressive Generative Hashing for Image Retrieval Yuqing Ma, Yue He, Fan Ding, Sheng Hu, Jun Li, Xianglong Liu
• Deep Hashing via Discrepancy Minimization Zhixiang Chen, Xin Yuan, Jiwen Lu*, Qi Tian, and Jie Zhou,
• Deep Domain Adaptation Hashing with Adversarial Learning Fuchen Long, Ting Yao, Qi Dai, Xinmei Tian, Jiebo Luo, Tao Mei
• NASH: Toward End-to-End Neural Architecture for Generative Semantic Hashing Dinghan Shen, Qinliang Su, Paidamoyo Chapfuwa, Wenlin Wang, Guoyin Wang, Lawrence Carin, Ricardo Henao
• A Two-step Cross-modal Hashing by Exploiting Label Correlations and Preserving Similarity in Both Steps Zhen-Duo Chen, Yongxin Wang, Hui-Qiong Li, Xin Luo, Liqiang Nie, Xin-Shun
• Adaptive Labeling for Deep Learning to Hash Huei-Fang Yang, Cheng-Hao Tu, Chu-Song Chen
• Deep Collaborative Discrete Hashing with Semantic-Invariant Structure Zijian Wang, Zheng Zhang, Yadan Luo and Zi Huang
• Weakly Supervised Deep Image Hashing through Tag Embeddings Vijetha Gattupalli, Yaoxin Zhuo, Baoxin Li
• Deep Semantic Text Hashing with Weak Supervision Suthee Chaidaroon, Travis Ebesu, Yi Fang
• Deep Saliency Hashing for Fine-grained Retrieval Sheng Jin, Hongxun Yao, Xiaoshuai Sun, Shangchen Zhou, Lei Zhang, Xiansheng Hua
• Deep Hashing by Discriminating Hard Examples Cheng Yan, Guansong Pang, Xiao Bai, Chunhua Shen, Jun Zhou, Edwin Hancock
• Neighborhood Preserving Hashing for Scalable Video Retrieval Shuyan Li, Zhixiang Chen, Jiwen Lu, Xiu Li, Jie Zhou
• Semi-supervised Deep Quantization for Cross-modal Search Xin Wang, Wenwu Zhu, Chenghao Liu
• Embarrassingly Simple Binary Representation Learning Yuming Shen, Jie Qin,Jiaxin Chen, Li Liu, and Fan Zhu
• Deep Joint-Semantics Reconstructing Hashing for Large-Scale Unsupervised Cross-Modal Retrieval Shupeng Su, Zhisheng Zhong, Chao Zhang
• Deep Supervised Hashing With Anchor Graph Yudong Chen, Zhihui Lai, Yujuan Ding, Kaiyi Lin, Wai Keung Wong
• Supervised Hierarchical Cross-Modal Hashing Changchang Sun, Xuemeng Song, Fuli Feng, Wayne Xin Zhao, Hao Zhang and Liqiang Nie
• Accelerate Learning of Deep Hashing With Gradient Attention Long-Kai Huang, Jianda Chen, Sinno Jialin Pan
• Unsupervised Neural Generative Semantic Hashing Casper Hansen, Christian Hansen, Jakob Grue Simonsen, Stephen Alstrup, Christina Lioma
• Central Similarity Quantization for Efficient Image and Video Retrieval Li Yuan, Tao Wang, Xiaopeng Zhang, Francis EH Tay, Zequn Jie, Wei Liu, Jiashi Feng
• Content-aware Neural Hashing for Cold-start Recommendation Casper Hansen, Christian Hansen, Jakob Grue Simonsen, Stephen Alstrup, Christina Lioma
• Bio-Inspired Hashing for Unsupervised Similarity Search Chaitanya K. Ryali, John J. Hopfield, Leopold Grinberg, Dmitry Krotov
• Learning Space Partitions for Nearest Neighbor Search Yihe Dong, Piotr Indyk, Ilya Razenshteyn, Tal Wagner
• Deep Hashing with Active Pairwise Supervision Ziwei Wang, Quan Zheng, Jiwen Lu, and Jie Zhou
• Hierarchical Deep Hashing for Fast Large Scale Image Retrieval Yongfei Zhang, Cheng Peng, Zhang Jingtao, Xianglong Liu, Shiliang Pu, Changhuai Chen
• Central Similarity Hashing for Efficient Image and Video Retrieval Li Yuan, Tao Wang, Xiaopeng Zhang, Zequn Jie, Francis EH Tay, Jiashi Feng
• Deep Variational and Structural Hashing Venice Erin Liong, Jiwen Lu, Ling-Yu Duan, and Yap-Peng Tan
• Creating Something from Nothing: Unsupervised Knowledge Distillation for Cross-Modal Hashing Hengtong Hu, Lingxi Xie, Richang Hong, Qi Tian
• Targeted Attack for Deep Hashing based Retrieval Jiawang Bai, Bin Chen, Yiming Li, Dongxian Wu, Weiwei Guo, Shu-tao Xia, En-hui Yang
• ExchNet: A Unified Hashing Network for Large-Scale Fine-Grained Image Retrieval Quan Cui, Qing-Yuan Jiang, Xiu-Shen Wei, Wu-Jun Li, and Osamu Yoshie
• Auto-Encoding Twin-Bottleneck Hashing Yuming Shen, Jie Qin, Jiaxin Chen, Mengyang Yu, Li Liu, Fan Zhu, Fumin Shen, Ling Shao
• Deep Hashing with Hash-Consistent Large Margin Proxy Embeddings Pedro Morgado, Yunsheng Li, Jose Costa Pereira, Mohammad Saberian, Nuno Vasconcelos
• Self-Supervised Video Hashing via Bidirectional Transformers Shuyan Li, Xiu Li, Jiwen Lu, Jie Zhou
• Prototype-Supervised Adversarial Network for Targeted Attack of Deep Hashing Xunguang Wang, Zheng Zhang, Baoyuan Wu, Fumin Shen, Guangming Lu

🏷 ECCV

• Multidimensional Spectral Hashing Y. Weiss, R. Fergus, A. Torralba
• Graph Cuts for Supervised Binary Coding T. Ge, K. He, J. Sun
• Optimizing Ranking Measures for Compact Binary Code Learning Guosheng Lin, Chunhua Shen, Jianxin Wu.
• Towards Optimal Deep Hashing via Policy Gradient Xin Yuan, Liangliang Ren, Jiwen Lu, and Jie Zhou
• Hashing with Binary Matrix Pursuit F. Cakir, K. He, S. Sclaroff
• Deep Hashing with Active Pairwise Supervision Ziwei Wang, Quan Zheng, Jiwen Lu, and Jie Zhou
• ExchNet: A Unified Hashing Network for Large-Scale Fine-Grained Image Retrieval Quan Cui, Qing-Yuan Jiang, Xiu-Shen Wei, Wu-Jun Li, and Osamu Yoshie

🏷 ECIR

• Graph Regularised Hashing S. Moran, V. Lavrenko

🏷 FOCS

• Near-Optimal Hashing Algorithms for Approximate Nearest Neighbor in High Dimensions A. Andoni, P. Indyk

🏷 GAN

• Deep Semantic Hashing with Generative Adversarial Networks Zhaofan Qiu, Yingwei Pan, Ting Yao, Tao Mei
• HashGAN: Deep Learning to Hash with Pair Conditional Wasserstein GAN Yue Cao, Mingsheng Long, Bin Liu, Jiamin Wang
• Progressive Generative Hashing for Image Retrieval Yuqing Ma, Yue He, Fan Ding, Sheng Hu, Jun Li, Xianglong Liu
• Deep Domain Adaptation Hashing with Adversarial Learning Fuchen Long, Ting Yao, Qi Dai, Xinmei Tian, Jiebo Luo, Tao Mei

🏷 Has Code

• Semantic Hashing R. Salakhutdinov, G. Hinton
• Multi-Probe LSH: Efficient Indexing for High-Dimensional Similarity Search Q. Lv, W. Josephson, Z. Wang, M. Charikar, K. Li
• Locality-sensitive binary codes from shift-invariant kernels M. Raginsky, S. Lazebnik
• Kernelized Locality-Sensitive Hashing for Scalable Image Search B. Kulis, K. Grauman
• Spectral Hashing Y. Weiss, A. Torralba, R. Fergus
• Hashing with Graphs W. Liu, J. Wang, S. Kumar, S. Chang
• Iterative Quantization: A Procrustean Approach to Learning Binary Codes Y. Gong, S. Lazebnik
• Hamming Distance Metric Learning M. Norouzi, D. Fleet, R. Salakhutdinov
• Neighbourhood Preserving Quantisation for LSH S. Moran, V. Lavrenko, and M. Osborne
• The Power of Asymmetry in Binary Hashing B. Neyshabur, R. Salakhutdinov, N. Srebro
• Learning Hash Functions Using Column Generation X. Li, G. Lin, C. Shen, A. Hengel, A. Dick
• Inter-Media Hashing for Large-Scale Retrieval from Heterogeneous Data Sources J. Song, Y. Yang, Y. Yang, Z. Huang, H. Shen
• Complementary Projection Hashing Z. Jin, Y. Hu, Y. Lin, D. Zhang, S. Lin, D. Cai, X. Li
• Adaptive Quantization for Hashing: An Information-Based Approach to Learning Binary Codes C. Xiong, W. Chen, G. Chen, D. Johnson, J. Corso
• Fast supervised hashing with decision trees for high-dimensional data Guosheng Lin, Chunhua Shen, Qinfeng Shi, Anton van den Hengel, and David Suter.
• Circulant Binary Embedding F. Yu, S. Kumar, Y. Gong, S. Chang
• Large-scale supervised multimodal hashing with semantic correlation maximization D. Zhang, W. Li
• Hashing with Binary Autoencoders M. Carreira-Perpinan, R. Raziperchikolaei
• Adaptive Hashing for Fast Similarity Search F. Cakir, S. Sclaroff
• Scalable Graph Hashing with Feature Transformation Q. Jiang, W. Li
• Graph Regularised Hashing S. Moran, V. Lavrenko
• Deep Hashing Network for Efficient Similarity Retrieval Han Zhu, Mingsheng Long, Jianmin Wang, Yue Cao
• Feature Learning based Deep Supervised Hashing with Pairwise Labels Wu-Jun Li, Sheng Wang and Wang-Cheng Kang
• Deep Cross-Modal Hashing Qing-Yuan Jiang, Wu-Jun Li
• Deep Supervised Discrete Hashing Qi Li, Zhenan Sun, Ran He, Tieniu Tan
• HashNet: Deep Learning to Hash by Continuation Zhangjie Cao, Mingsheng Long, Jianmin Wang, Philip S. Yu
• MIHash: Online Hashing with Mutual Information F. Cakir, K. He, S. Bargal, S. Sclaroff
• Unsupervised Deep Hashing with Similarity-Adaptive and Discrete Optimization Fumin Shen, Yan Xu, Li Liu, Yang Yang, Zi Huang, Heng Tao Shen
• Greedy Hash: Towards Fast Optimization for Accurate Hash Coding in CNN Shupeng Su, Chao Zhang, Kai Han, Yonghong Tian
• Hashing as Tie-Aware Learning to Rank K. He, F. Cakir, S. Bargal, S. Sclaroff
• Hashing with Binary Matrix Pursuit F. Cakir, K. He, S. Sclaroff
• Weakly Supervised Deep Image Hashing through Tag Embeddings Vijetha Gattupalli, Yaoxin Zhuo, Baoxin Li
• Embarrassingly Simple Binary Representation Learning Yuming Shen, Jie Qin,Jiaxin Chen, Li Liu, and Fan Zhu
• Deep Joint-Semantics Reconstructing Hashing for Large-Scale Unsupervised Cross-Modal Retrieval Shupeng Su, Zhisheng Zhong, Chao Zhang
• Unsupervised Neural Generative Semantic Hashing Casper Hansen, Christian Hansen, Jakob Grue Simonsen, Stephen Alstrup, Christina Lioma
• Enhanced Discrete Multi-modal Hashing: More Constraints yet Less Time to Learn Yong Chen, Hui Zhang, Zhibao Tian, Jun Wang, Dell Zhang, Xuelong Li
• Strongly Constrained Discrete Hashing Yong Chen, Zhibao Tian, Hui Zhang, Jun Wang, Dell Zhang
• Central Similarity Hashing for Efficient Image and Video Retrieval Li Yuan, Tao Wang, Xiaopeng Zhang, Zequn Jie, Francis EH Tay, Jiashi Feng
• Learning to Hash Robustly, with Guarantees Alexandr Andoni, Daniel Beaglehole
• Prototype-Supervised Adversarial Network for Targeted Attack of Deep Hashing Xunguang Wang, Zheng Zhang, Baoyuan Wu, Fumin Shen, Guangming Lu
• Long-Tail Hashing Yong Chen, Yuqing Hou, Shu Leng, Ping Hu, Zhouchen Lin, and Dell Zhang

🏷 Hash Code

• Central Similarity Quantization for Efficient Image and Video Retrieval Li Yuan, Tao Wang, Xiaopeng Zhang, Francis EH Tay, Zequn Jie, Wei Liu, Jiashi Feng

🏷 ICCV

• Kernelized Locality-Sensitive Hashing for Scalable Image Search B. Kulis, K. Grauman
• Supervised binary hash code learning with jensen shannon divergence Lixin Fan
• Complementary Projection Hashing Z. Jin, Y. Hu, Y. Lin, D. Zhang, S. Lin, D. Cai, X. Li
• Two Birds, One Stone: Jointly Learning Binary Code for Large-scale Face Image Retrieval and Attributes Prediction Yan Li, Ruiping Wang, Haomiao Liu, Huajie Jiang, Shiguang Shan and Xilin Chen
• An NMF perspective on Binary Hashing Lopamudra Mukherjee, Sathya N. Ravi, Vamsi K. Ithapu, Tyler Holmes and Vikas Singh
• Multi-View Complementary Hash Tables for Nearest Neighbor Search Xianglong Liu, Lei Huang, Cheng Deng, Jiwen Lu and Bo Land
• kNN Hashing with Factorized Neighborhood Representation Kun Ding, Chunlei Huo, Bin Fan, Chunhong Pan
• Adaptive Hashing for Fast Similarity Search F. Cakir, S. Sclaroff
• Top Rank Supervised Binary Coding for Visual Search Dongjin Song, Wei Liu, Rongrong Ji, David A. Meyer, John R. Smith
• Cross-Modal Deep Variational Hashing Venice Erin Liong, Jiwen Lu, Yap-Peng Tan, and Jie Zhou
• MIHash: Online Hashing with Mutual Information F. Cakir, K. He, S. Bargal, S. Sclaroff
• Maximum-Margin Hamming Hashing Rong Kang, Yue Cao, Mingsheng Long (B), Jianmin Wang, and Philip S. Yu
• Neighborhood Preserving Hashing for Scalable Video Retrieval Shuyan Li, Zhixiang Chen, Jiwen Lu, Xiu Li, and Jie Zhou
• Neighborhood Preserving Hashing for Scalable Video Retrieval Shuyan Li, Zhixiang Chen, Jiwen Lu, Xiu Li, Jie Zhou
• Embarrassingly Simple Binary Representation Learning Yuming Shen, Jie Qin,Jiaxin Chen, Li Liu, and Fan Zhu
• Deep Joint-Semantics Reconstructing Hashing for Large-Scale Unsupervised Cross-Modal Retrieval Shupeng Su, Zhisheng Zhong, Chao Zhang
• Deep Supervised Hashing With Anchor Graph Yudong Chen, Zhihui Lai, Yujuan Ding, Kaiyi Lin, Wai Keung Wong
• Accelerate Learning of Deep Hashing With Gradient Attention Long-Kai Huang, Jianda Chen, Sinno Jialin Pan

🏷 ICIP

• Variable-Length Quantization Strategy for Hashing Yang Shi, Xiushan Nie, Xin Zhou, Xiaoming Xi, Yilong Yin

🏷 ICLR

• Learning Space Partitions for Nearest Neighbor Search Yihe Dong, Piotr Indyk, Ilya Razenshteyn, Tal Wagner

🏷 ICME

• A New Approach to Cross-Modal Multimedia Retrieval N. Rasiwasia, J. Costa Pereira, E. Coviello, G. Doyle, G. Lanckriet, R.Levy and N. Vasconcelos

🏷 ICML

• Sequential projection learning for hashing with compact codes J. Wang, S. Kumar, S. Chang
• Hashing with Graphs W. Liu, J. Wang, S. Kumar, S. Chang
• Learning Hash Functions Using Column Generation X. Li, G. Lin, C. Shen, A. Hengel, A. Dick
• Circulant Binary Embedding F. Yu, S. Kumar, Y. Gong, S. Chang
• Hashing for Distributed Data Cong Leng, Jiaxiang Wu, Jian Cheng, Xi Zhang and Hanqing Lu
• Bio-Inspired Hashing for Unsupervised Similarity Search Chaitanya K. Ryali, John J. Hopfield, Leopold Grinberg, Dmitry Krotov

🏷 ICMR

• Correlation Autoencoder Hashing for Supervised Cross-Modal Search Yue Cao, Mingsheng Long, Jianmin Wang, Han Zhu
• Deep Supervised Hashing for Multi-Label and Large-Scale Image Retrieval Dayan Wu, Zheng Lin, Bo Li, Mingzhen Ye, Weiping Wang

🏷 ICPR

• Hierarchical Deep Hashing for Fast Large Scale Image Retrieval Yongfei Zhang, Cheng Peng, Zhang Jingtao, Xianglong Liu, Shiliang Pu, Changhuai Chen
• Fast Discrete Cross-Modal Hashing Based on Label Relaxation and Matrix Factorization Donglin Zhang, Xiaojun Wu, Zhen Liu, Jun Yu, Josef Kittler
• Label Self-Adaption Hashing for Image Retrieval Jianglin Lu, Zhihui Lai, Hailing Wang, Jie Zhou

🏷 IJCAI

• Learning hash functions for cross-view similarity search S. Kumar, R. Udupa
• Scalable Graph Hashing with Feature Transformation Q. Jiang, W. Li
• Semantic Topic Multimodal Hashing for Cross-Media Retrieval Di Wang, Xinbo Gao, Xiumei Wang and Lihuo He
• Feature Learning based Deep Supervised Hashing with Pairwise Labels Wu-Jun Li, Sheng Wang and Wang-Cheng Kang
• Progressive Generative Hashing for Image Retrieval Yuqing Ma, Yue He, Fan Ding, Sheng Hu, Jun Li, Xianglong Liu

🏷 IJCV

• Deep Hashing with Hash-Consistent Large Margin Proxy Embeddings Pedro Morgado, Yunsheng Li, Jose Costa Pereira, Mohammad Saberian, Nuno Vasconcelos

🏷 Image Retrieval

• Locality-sensitive binary codes from shift-invariant kernels M. Raginsky, S. Lazebnik
• Kernelized Locality-Sensitive Hashing for Scalable Image Search B. Kulis, K. Grauman
• Fast Similarity Search for Learned Metrics P. Jain, B. Kulis, K. Grauman
• Spectral Hashing Y. Weiss, A. Torralba, R. Fergus
• Semi-supervised hashing for scalable image retrieval J. Wang, S. Kumar, and S. Chang
• Iterative Quantization: A Procrustean Approach to Learning Binary Codes Y. Gong, S. Lazebnik
• Manhattan Hashing for Large-Scale Image Retrieval W. Kong, W. Li, M. Guo
• Hamming Distance Metric Learning M. Norouzi, D. Fleet, R. Salakhutdinov
• Multidimensional Spectral Hashing Y. Weiss, R. Fergus, A. Torralba
• Spherical Hashing J. Heo, Y. Lee, J. He, S. Chang, S. Yoon
• Learning Binary Hash Codes for Large-Scale Image Search Kristen Grauman, Rob Fergus
• Inter-Media Hashing for Large-Scale Retrieval from Heterogeneous Data Sources J. Song, Y. Yang, Y. Yang, Z. Huang, H. Shen
• Fast Approximate Nearest-Neighbor Field by Cascaded Spherical Hashing I. Torres-Xirau, J. Salvador, E. Pérez-Pellitero
• Graph Cuts for Supervised Binary Coding T. Ge, K. He, J. Sun
• Locally Linear Hashing for Extracting Non-Linear Manifolds G. Irie, Z. Li, X. Wu, S. Chang
• Optimizing Ranking Measures for Compact Binary Code Learning Guosheng Lin, Chunhua Shen, Jianxin Wu.
• Two Birds, One Stone: Jointly Learning Binary Code for Large-scale Face Image Retrieval and Attributes Prediction Yan Li, Ruiping Wang, Haomiao Liu, Huajie Jiang, Shiguang Shan and Xilin Chen
• Multi-View Complementary Hash Tables for Nearest Neighbor Search Xianglong Liu, Lei Huang, Cheng Deng, Jiwen Lu and Bo Land
• Deep learning of binary hash codes for fast image retrieval Kevin Lin, Huei-Fang Yang, Jen-Hao Hsiao, Chu-Song Chen
• Deep Semantic Ranking Based Hashing for Multi-Label Image Retrieval F. Zhao, Y. Huang, L. Wang, and T. Tan
• Graph Regularised Hashing S. Moran, V. Lavrenko
• Regularised Cross-Modal Hashing S. Moran, V. Lavrenko
• Bit-Scalable Deep Hashing With Regularized Similarity Learning for Image Retrieval and Person Re-Identification R. Zhang, L. Lin, R. Zhang, W. Zuo, L. Zhang
• Deep Hashing Network for Efficient Similarity Retrieval Han Zhu, Mingsheng Long, Jianmin Wang, Yue Cao
• XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks M. Rastegari, V. Ordonez, J. Redmon, A. Farhadi
• Learning to Project and Binarise for Hashing-Based Approximate Nearest Neighbour Search S. Moran
• Feature Learning based Deep Supervised Hashing with Pairwise Labels Wu-Jun Li, Sheng Wang and Wang-Cheng Kang
• Deep Cross-Modal Hashing Qing-Yuan Jiang, Wu-Jun Li
• Deep Supervised Hashing for Multi-Label and Large-Scale Image Retrieval Dayan Wu, Zheng Lin, Bo Li, Mingzhen Ye, Weiping Wang
• A Survey on Learning to Hash Jingdong Wang, Ting Zhang, Jingkuan Song, Nicu Sebe, and Heng Tao Shen
• Discretely Coding Semantic Rank Orders for Supervised Image Hashing Li Liu, Ling Shao, Fumin Shen, Mengyang Yu
• Deep Semantic Hashing with Generative Adversarial Networks Zhaofan Qiu, Yingwei Pan, Ting Yao, Tao Mei
• Unsupervised Deep Hashing with Similarity-Adaptive and Discrete Optimization Fumin Shen, Yan Xu, Li Liu, Yang Yang, Zi Huang, Heng Tao Shen
• HashGAN: Deep Learning to Hash with Pair Conditional Wasserstein GAN Yue Cao, Mingsheng Long, Bin Liu, Jiamin Wang
• Deep Cauchy Hashing for Hamming Space Retrieval Yue Cao, Mingsheng Long, Bin Liu, Jianmin Wang
• Progressive Generative Hashing for Image Retrieval Yuqing Ma, Yue He, Fan Ding, Sheng Hu, Jun Li, Xianglong Liu
• Hashing with Binary Matrix Pursuit F. Cakir, K. He, S. Sclaroff
• A Two-step Cross-modal Hashing by Exploiting Label Correlations and Preserving Similarity in Both Steps Zhen-Duo Chen, Yongxin Wang, Hui-Qiong Li, Xin Luo, Liqiang Nie, Xin-Shun
• Weakly Supervised Deep Image Hashing through Tag Embeddings Vijetha Gattupalli, Yaoxin Zhuo, Baoxin Li
• Hashing with Mutual Information F. Cakir, K. He, S. Bargal, S. Sclaroff
• Deep Saliency Hashing for Fine-grained Retrieval Sheng Jin, Hongxun Yao, Xiaoshuai Sun, Shangchen Zhou, Lei Zhang, Xiansheng Hua
• Deep Hashing by Discriminating Hard Examples Cheng Yan, Guansong Pang, Xiao Bai, Chunhua Shen, Jun Zhou, Edwin Hancock
• MoBoost: A Self-improvement Framework for Linear-based Hashing Xingbo Liu, Xiushan Nie, Xiaoming Xi, Lei Zhu, Yilong Yin
• Push for Quantization: Deep Fisher Hashing Yunqiang Li, Wenjie Pei, Yufei zha, Jan van Gemert
• Central Similarity Quantization for Efficient Image and Video Retrieval Li Yuan, Tao Wang, Xiaopeng Zhang, Francis EH Tay, Zequn Jie, Wei Liu, Jiashi Feng
• Hierarchical Deep Hashing for Fast Large Scale Image Retrieval Yongfei Zhang, Cheng Peng, Zhang Jingtao, Xianglong Liu, Shiliang Pu, Changhuai Chen
• Learning to Hash with a Dimension Analysis-based Quantizer for Image Retrieval Yuan Cao; Heng Qi; Jie Gui; Keqiu Li; Yuan Yan Tang; James Tin-Yau Kwok
• Model Optimization Boosting Framework for Linear Model Hash Learning Xingbo Liu, Xiushan Nie, Quan Zhou, Liqiang Nie, Yilong Yin
• Two-Stream Deep Hashing With Class-Specific Centers for Supervised Image Search Cheng Deng, Erkun Yang, Tongliang Liu, Dacheng Tao
• Targeted Attack for Deep Hashing based Retrieval Jiawang Bai, Bin Chen, Yiming Li, Dongxian Wu, Weiwei Guo, Shu-tao Xia, En-hui Yang
• Label Self-Adaption Hashing for Image Retrieval Jianglin Lu, Zhihui Lai, Hailing Wang, Jie Zhou
• ExchNet: A Unified Hashing Network for Large-Scale Fine-Grained Image Retrieval Quan Cui, Qing-Yuan Jiang, Xiu-Shen Wei, Wu-Jun Li, and Osamu Yoshie
• Learning to Hash Robustly, with Guarantees Alexandr Andoni, Daniel Beaglehole
• Long-Tail Hashing Yong Chen, Yuqing Hou, Shu Leng, Ping Hu, Zhouchen Lin, and Dell Zhang

🏷 JCSS

• Min-Wise Independent Permutations Andrei Z Broder,Moses Charikar,Alan M Frieze,Michael Mitzenmacher

🏷 KDD

• Very Sparse Random Projections Ping Li, Trevor J Hastie, Kenneth W. Church
• Comparing apples to oranges: a scalable solution with heterogeneous hashing M. Ou, P. Cui, F. Wang, J. Wang, W. Zhu, S. Yang
• Deep Visual-Semantic Hashing for Cross-Modal Retrieval Yue Cao, Mingsheng Long, Jianmin Wang, Qiang Yang, Philip S. Yu

🏷 LSH

• Locality-sensitive hashing scheme based on p-stable distributions M. Datar, N. Immorlica, P. Indyk, V. Mirrokni
• LSH Forest: Self-Tuning Indexes for Similarity Search M. Bawa, T. Condie, P. Ganesan
• Multi-Probe LSH: Efficient Indexing for High-Dimensional Similarity Search Q. Lv, W. Josephson, Z. Wang, M. Charikar, K. Li
• Locality-sensitive binary codes from shift-invariant kernels M. Raginsky, S. Lazebnik
• Streaming First Story Detection with application to Twitter S. Petrovic, M. Osborne, V. Lavrenko
• Using paraphrases for improving first story detection in news and Twitter S. Petrovic, M. Osborne, V. Lavrenko
• Neighbourhood Preserving Quantisation for LSH S. Moran, V. Lavrenko, and M. Osborne
• Streaming Similarity Search over one Billion Tweets using Parallel Locality-Sensitive Hashing Narayanan Sundaram, Aizana Turmukhametova, Nadathur Satish, Todd Mostak, Piotr Indyk, Samuel Madden and Pradeep Dubey
• Variable Bit Quantisation for LSH S. Moran, V. Lavrenko, and M. Osborne
• Practical and Optimal LSH for Angular Distance A. Andoni, P. Indyk, T. Laarhoven
• Enhancing First Story Detection using Word Embeddings S. Moran, R. McCreadie, C. Macdonald, I. Ounis
• Locality-Sensitive Hashing for Earthquake Detection: A Case Study of Scaling Data-Driven Science Kexin Rong, Clara E. Yoon, Karianne J. Bergen, Hashem Elezabi,Peter Bailis, Philip Levis, Gregory C. Beroza
• Locality-Sensitive Hashing for f-Divergences: Mutual Information Loss and Beyond L. Chen, H. Esfandiari, G. Fu, V. Mirrokni

🏷 LSTM

• Neighborhood Preserving Hashing for Scalable Video Retrieval Shuyan Li, Zhixiang Chen, Jiwen Lu, Xiu Li, Jie Zhou

🏷 MM

• Linear cross-modal hashing for efficient multimedia search Xiaofeng Zhu, Zi Huang, Heng Tao Shen, Xin Zhao
• SCRATCH: A Scalable Discrete Matrix Factorization Hashing for Cross-Modal Retrieval Chuan-Xiang Li , Zhen-Duo Chen, Peng-Fei Zhang, Xin Luo, Liqiang Nie, Wei Zhang, Xin-Shun Xu
• A Two-step Cross-modal Hashing by Exploiting Label Correlations and Preserving Similarity in Both Steps Zhen-Duo Chen, Yongxin Wang, Hui-Qiong Li, Xin Luo, Liqiang Nie, Xin-Shun
• Separated Variational Hashing Networks for Cross-Modal Retrieval Peng Hu, Xu Wang, Liangli Zhen, Dezhong Peng
• Deep Hashing by Discriminating Hard Examples Cheng Yan, Guansong Pang, Xiao Bai, Chunhua Shen, Jun Zhou, Edwin Hancock
• Semi-supervised Deep Quantization for Cross-modal Search Xin Wang, Wenwu Zhu, Chenghao Liu

🏷 NAACL

• Streaming First Story Detection with application to Twitter S. Petrovic, M. Osborne, V. Lavrenko
• Using paraphrases for improving first story detection in news and Twitter S. Petrovic, M. Osborne, V. Lavrenko

🏷 NIPS

• Semantic Hashing R. Salakhutdinov, G. Hinton
• Locality-sensitive binary codes from shift-invariant kernels M. Raginsky, S. Lazebnik
• Spectral Hashing Y. Weiss, A. Torralba, R. Fergus
• Hashing Hyperplane Queries to Near Points with Applications to Large-Scale Active Learning P. Jain, S. Vijayanarasimhan, K. Grauman
• Hamming Distance Metric Learning M. Norouzi, D. Fleet, R. Salakhutdinov
• Co-Regularized Hashing for Multimodal Data Y. Zhen, D. Yeung
• The Power of Asymmetry in Binary Hashing B. Neyshabur, R. Salakhutdinov, N. Srebro
• Discrete Graph Hashing W. Liu, C. Mu, S. Kumar, S. Chang
• Practical and Optimal LSH for Angular Distance A. Andoni, P. Indyk, T. Laarhoven
• Deep Supervised Discrete Hashing Qi Li, Zhenan Sun, Ran He, Tieniu Tan
• Greedy Hash: Towards Fast Optimization for Accurate Hash Coding in CNN Shupeng Su, Chao Zhang, Kai Han, Yonghong Tian
• Locality-Sensitive Hashing for f-Divergences: Mutual Information Loss and Beyond L. Chen, H. Esfandiari, G. Fu, V. Mirrokni

🏷 Quantisation

• Iterative Quantization: A Procrustean Approach to Learning Binary Codes Y. Gong, S. Lazebnik
• Manhattan Hashing for Large-Scale Image Retrieval W. Kong, W. Li, M. Guo
• Neighbourhood Preserving Quantisation for LSH S. Moran, V. Lavrenko, and M. Osborne
• Variable Bit Quantisation for LSH S. Moran, V. Lavrenko, and M. Osborne
• Adaptive Quantization for Hashing: An Information-Based Approach to Learning Binary Codes C. Xiong, W. Chen, G. Chen, D. Johnson, J. Corso
• Deep Hashing Network for Efficient Similarity Retrieval Han Zhu, Mingsheng Long, Jianmin Wang, Yue Cao
• Affinity Preserving Quantization for Hashing: A Vector Quantization Approach to Learning Compact Binary Codes Z. Wang, L. Duan, T. Huang, W. Gao
• Collective Deep Quantization for Efficient Cross-Modal Retrieval Yue Cao, Mingsheng Long, Jianmin Wang, Shichen Liu
• Semi-supervised Deep Quantization for Cross-modal Search Xin Wang, Wenwu Zhu, Chenghao Liu
• Variable-Length Quantization Strategy for Hashing Yang Shi, Xiushan Nie, Xin Zhou, Xiaoming Xi, Yilong Yin
• Push for Quantization: Deep Fisher Hashing Yunqiang Li, Wenjie Pei, Yufei zha, Jan van Gemert
• Learning to Hash with a Dimension Analysis-based Quantizer for Image Retrieval Yuan Cao; Heng Qi; Jie Gui; Keqiu Li; Yuan Yan Tang; James Tin-Yau Kwok

🏷 RNN

• Deep Visual-Semantic Hashing for Cross-Modal Retrieval Yue Cao, Mingsheng Long, Jianmin Wang, Qiang Yang, Philip S. Yu

🏷 SCG

• Locality-sensitive hashing scheme based on p-stable distributions M. Datar, N. Immorlica, P. Indyk, V. Mirrokni

🏷 SDM

• Adaptive Quantization for Hashing: An Information-Based Approach to Learning Binary Codes C. Xiong, W. Chen, G. Chen, D. Johnson, J. Corso

🏷 SIGIR

• Manhattan Hashing for Large-Scale Image Retrieval W. Kong, W. Li, M. Guo
• Neighbourhood Preserving Quantisation for LSH S. Moran, V. Lavrenko, and M. Osborne
• Supervised Hashing with Latent Factor Models P. Zhang, W. Zhang, W. Li, M. Guo
• Regularised Cross-Modal Hashing S. Moran, V. Lavrenko
• Enhancing First Story Detection using Word Embeddings S. Moran, R. McCreadie, C. Macdonald, I. Ounis
• Learning to Project and Binarise for Hashing-Based Approximate Nearest Neighbour Search S. Moran
• Variational Deep Semantic Hashing for Text Documents Suthee Chaidaroon, Yi Fang
• Deep Semantic Hashing with Generative Adversarial Networks Zhaofan Qiu, Yingwei Pan, Ting Yao, Tao Mei
• Fast Scalable Supervised Hashing Xin Luo, Liqiang Nie, Xiangnan He, Ye Wu, Zhen-Duo Chen, Xin-Shun Xu
• Deep Domain Adaptation Hashing with Adversarial Learning Fuchen Long, Ting Yao, Qi Dai, Xinmei Tian, Jiebo Luo, Tao Mei
• Deep Collaborative Discrete Hashing with Semantic-Invariant Structure Zijian Wang, Zheng Zhang, Yadan Luo and Zi Huang
• Deep Semantic Text Hashing with Weak Supervision Suthee Chaidaroon, Travis Ebesu, Yi Fang
• Online Multi-modal Hashing with Dynamic Query-adaption Xu Lu, Lei Zhu, Zhiyong Cheng, Liqiang Nie and Huaxiang Zhang
• Supervised Hierarchical Cross-Modal Hashing Changchang Sun, Xuemeng Song, Fuli Feng, Wayne Xin Zhao, Hao Zhang and Liqiang Nie
• Unsupervised Neural Generative Semantic Hashing Casper Hansen, Christian Hansen, Jakob Grue Simonsen, Stephen Alstrup, Christina Lioma
• Unsupervised Semantic Hashing with Pairwise Reconstruction Casper Hansen, Christian Hansen, Jakob Grue Simonsen, Stephen Alstrup, Christina Lioma
• Content-aware Neural Hashing for Cold-start Recommendation Casper Hansen, Christian Hansen, Jakob Grue Simonsen, Stephen Alstrup, Christina Lioma
• Online Collective Matrix Factorization Hashing for Large-Scale Cross-Media Retrieval Di Wang, Quan Wang, Yaqiang An, Xinbo Gao, Yumin Tian
• Joint-modal Distribution-based Similarity Hashing for Large-scale Unsupervised Deep Cross-modal Retrieval Song Liu, Shengsheng Qian, Yang Guan, Jiawei Zhan, Long Ying
• Nonlinear Robust Discrete Hashing for Cross-Modal Retrieval Zhan Yang, Jun Long, Lei Zhu, Wenti Huang
• Long-Tail Hashing Yong Chen, Yuqing Hou, Shu Leng, Ping Hu, Zhouchen Lin, and Dell Zhang

🏷 SIGMOD

• Inter-Media Hashing for Large-Scale Retrieval from Heterogeneous Data Sources J. Song, Y. Yang, Y. Yang, Z. Huang, H. Shen

🏷 Self-Supervised

• Self-Supervised Video Hashing with Hierarchical Binary Auto-encoder Jingkuan Song, Hanwang Zhang, Xiangpeng Li, Lianli Gao, Meng Wang, Richang Hong
• Self-Supervised Video Hashing via Bidirectional Transformers Shuyan Li, Xiu Li, Jiwen Lu, Jie Zhou

🏷 Semi-Supervised

• SSAH: Semi-supervised Adversarial Deep Hashing with Self-paced Hard Sample Generation Sheng Jin, Shangchen Zhou, Yao Liu, Chao Chen, Xiaoshuai Sun, Hongxun Yao, Xiansheng Hua

🏷 Skewed Data

• LSH Forest: Self-Tuning Indexes for Similarity Search M. Bawa, T. Condie, P. Ganesan

🏷 Spectral

• Spectral Hashing Y. Weiss, A. Torralba, R. Fergus

🏷 Streaming Data

• Streaming First Story Detection with application to Twitter S. Petrovic, M. Osborne, V. Lavrenko
• Using paraphrases for improving first story detection in news and Twitter S. Petrovic, M. Osborne, V. Lavrenko
• Streaming Similarity Search over one Billion Tweets using Parallel Locality-Sensitive Hashing Narayanan Sundaram, Aizana Turmukhametova, Nadathur Satish, Todd Mostak, Piotr Indyk, Samuel Madden and Pradeep Dubey
• Adaptive Hashing for Fast Similarity Search F. Cakir, S. Sclaroff
• Enhancing First Story Detection using Word Embeddings S. Moran, R. McCreadie, C. Macdonald, I. Ounis
• MIHash: Online Hashing with Mutual Information F. Cakir, K. He, S. Bargal, S. Sclaroff

🏷 Supervised

• Semantic Hashing R. Salakhutdinov, G. Hinton
• Fast Similarity Search for Learned Metrics P. Jain, B. Kulis, K. Grauman
• Sequential projection learning for hashing with compact codes J. Wang, S. Kumar, S. Chang
• Semi-supervised hashing for scalable image retrieval J. Wang, S. Kumar, and S. Chang
• Supervised Hashing with Latent Factor Models P. Zhang, W. Zhang, W. Li, M. Guo
• Fast supervised hashing with decision trees for high-dimensional data Guosheng Lin, Chunhua Shen, Qinfeng Shi, Anton van den Hengel, and David Suter.
• Graph Cuts for Supervised Binary Coding T. Ge, K. He, J. Sun
• Large-scale supervised multimodal hashing with semantic correlation maximization D. Zhang, W. Li
• Deep Hashing for Compact Binary Codes Learning V. Liong, J. Lu, G. Wang, P. Moulin, J. Zhou
• Graph Regularised Hashing S. Moran, V. Lavrenko
• Semantic Topic Multimodal Hashing for Cross-Media Retrieval Di Wang, Xinbo Gao, Xiumei Wang and Lihuo He
• Top Rank Supervised Binary Coding for Visual Search Dongjin Song, Wei Liu, Rongrong Ji, David A. Meyer, John R. Smith
• Column Sampling Based Discrete Supervised Hashing Wang-Cheng Kang, Wu-Jun Li, Zhi-Hua Zhou
• Correlation Autoencoder Hashing for Supervised Cross-Modal Search Yue Cao, Mingsheng Long, Jianmin Wang, Han Zhu
• Deep Supervised Discrete Hashing Qi Li, Zhenan Sun, Ran He, Tieniu Tan
• Deep Supervised Hashing for Multi-Label and Large-Scale Image Retrieval Dayan Wu, Zheng Lin, Bo Li, Mingzhen Ye, Weiping Wang
• Discretely Coding Semantic Rank Orders for Supervised Image Hashing Li Liu, Ling Shao, Fumin Shen, Mengyang Yu
• Deep Semantic Hashing with Generative Adversarial Networks Zhaofan Qiu, Yingwei Pan, Ting Yao, Tao Mei
• Fast Scalable Supervised Hashing Xin Luo, Liqiang Nie, Xiangnan He, Ye Wu, Zhen-Duo Chen, Xin-Shun Xu
• NASH: Toward End-to-End Neural Architecture for Generative Semantic Hashing Dinghan Shen, Qinliang Su, Paidamoyo Chapfuwa, Wenlin Wang, Guoyin Wang, Lawrence Carin, Ricardo Henao
• Deep Collaborative Discrete Hashing with Semantic-Invariant Structure Zijian Wang, Zheng Zhang, Yadan Luo and Zi Huang
• Hashing with Mutual Information F. Cakir, K. He, S. Bargal, S. Sclaroff
• Semi-supervised Deep Quantization for Cross-modal Search Xin Wang, Wenwu Zhu, Chenghao Liu
• Embarrassingly Simple Binary Representation Learning Yuming Shen, Jie Qin,Jiaxin Chen, Li Liu, and Fan Zhu
• MoBoost: A Self-improvement Framework for Linear-based Hashing Xingbo Liu, Xiushan Nie, Xiaoming Xi, Lei Zhu, Yilong Yin
• Online Multi-modal Hashing with Dynamic Query-adaption Xu Lu, Lei Zhu, Zhiyong Cheng, Liqiang Nie and Huaxiang Zhang
• Deep Supervised Hashing With Anchor Graph Yudong Chen, Zhihui Lai, Yujuan Ding, Kaiyi Lin, Wai Keung Wong
• Learning Space Partitions for Nearest Neighbor Search Yihe Dong, Piotr Indyk, Ilya Razenshteyn, Tal Wagner
• Deep Hashing with Active Pairwise Supervision Ziwei Wang, Quan Zheng, Jiwen Lu, and Jie Zhou
• Two-Stream Deep Hashing With Class-Specific Centers for Supervised Image Search Cheng Deng, Erkun Yang, Tongliang Liu, Dacheng Tao
• Prototype-Supervised Adversarial Network for Targeted Attack of Deep Hashing Xunguang Wang, Zheng Zhang, Baoyuan Wu, Fumin Shen, Guangming Lu

🏷 Survey Paper

• Learning Binary Hash Codes for Large-Scale Image Search Kristen Grauman, Rob Fergus
• A Survey on Learning to Hash Jingdong Wang, Ting Zhang, Jingkuan Song, Nicu Sebe, and Heng Tao Shen

🏷 TIP

• Bit-Scalable Deep Hashing With Regularized Similarity Learning for Image Retrieval and Person Re-Identification R. Zhang, L. Lin, R. Zhang, W. Zuo, L. Zhang
• Self-Supervised Video Hashing with Hierarchical Binary Auto-encoder Jingkuan Song, Hanwang Zhang, Xiangpeng Li, Lianli Gao, Meng Wang, Richang Hong
• Strongly Constrained Discrete Hashing Yong Chen, Zhibao Tian, Hui Zhang, Jun Wang, Dell Zhang
• Model Optimization Boosting Framework for Linear Model Hash Learning Xingbo Liu, Xiushan Nie, Quan Zhou, Liqiang Nie, Yilong Yin
• Unsupervised Discrete Hashing with Affinity Similarity Sheng Jin, Hongxun Yao, Qin Zhou, Yao Liu, Jianqiang Huang, Xiansheng Hua

🏷 TKDE

• Enhanced Discrete Multi-modal Hashing: More Constraints yet Less Time to Learn Yong Chen, Hui Zhang, Zhibao Tian, Jun Wang, Dell Zhang, Xuelong Li

🏷 TNNLS

• Two-Stream Deep Hashing With Class-Specific Centers for Supervised Image Search Cheng Deng, Erkun Yang, Tongliang Liu, Dacheng Tao

🏷 TOIS

• Robust Unsupervised Cross-modal Hashing for Multimedia Retrieval Miaomiao Cheng, Liping Jing, Michael K. Ng

🏷 TOM

• Learning to Hash with a Dimension Analysis-based Quantizer for Image Retrieval Yuan Cao; Heng Qi; Jie Gui; Keqiu Li; Yuan Yan Tang; James Tin-Yau Kwok

🏷 TPAMI

• Fast Similarity Search for Learned Metrics P. Jain, B. Kulis, K. Grauman
• Unsupervised Deep Hashing with Similarity-Adaptive and Discrete Optimization Fumin Shen, Yan Xu, Li Liu, Yang Yang, Zi Huang, Heng Tao Shen
• Hashing with Mutual Information F. Cakir, K. He, S. Bargal, S. Sclaroff
• Deep Variational and Structural Hashing Venice Erin Liong, Jiwen Lu, Ling-Yu Duan, and Yap-Peng Tan

🏷 Text Retrieval

• Streaming First Story Detection with application to Twitter S. Petrovic, M. Osborne, V. Lavrenko
• Using paraphrases for improving first story detection in news and Twitter S. Petrovic, M. Osborne, V. Lavrenko
• Regularised Cross-Modal Hashing S. Moran, V. Lavrenko
• Enhancing First Story Detection using Word Embeddings S. Moran, R. McCreadie, C. Macdonald, I. Ounis
• Variational Deep Semantic Hashing for Text Documents Suthee Chaidaroon, Yi Fang

🏷 Unsupervised

• Very Sparse Random Projections Ping Li, Trevor J Hastie, Kenneth W. Church
• Multi-Probe LSH: Efficient Indexing for High-Dimensional Similarity Search Q. Lv, W. Josephson, Z. Wang, M. Charikar, K. Li
• Sequential projection learning for hashing with compact codes J. Wang, S. Kumar, S. Chang
• Hashing with Graphs W. Liu, J. Wang, S. Kumar, S. Chang
• Iterative Quantization: A Procrustean Approach to Learning Binary Codes Y. Gong, S. Lazebnik
• Multidimensional Spectral Hashing Y. Weiss, R. Fergus, A. Torralba
• Fast Approximate Nearest-Neighbor Field by Cascaded Spherical Hashing I. Torres-Xirau, J. Salvador, E. Pérez-Pellitero
• Hashing with Binary Autoencoders M. Carreira-Perpinan, R. Raziperchikolaei
• Unsupervised Deep Hashing with Similarity-Adaptive and Discrete Optimization Fumin Shen, Yan Xu, Li Liu, Yang Yang, Zi Huang, Heng Tao Shen
• Progressive Generative Hashing for Image Retrieval Yuqing Ma, Yue He, Fan Ding, Sheng Hu, Jun Li, Xianglong Liu
• DistillHash: Unsupervised Deep Hashing by Distilling Data Pairs Erkun Yang, Tongliang Liu, Cheng Deng, Wei Liu, Dacheng Tao
• Neighborhood Preserving Hashing for Scalable Video Retrieval Shuyan Li, Zhixiang Chen, Jiwen Lu, Xiu Li, Jie Zhou
• Deep Joint-Semantics Reconstructing Hashing for Large-Scale Unsupervised Cross-Modal Retrieval Shupeng Su, Zhisheng Zhong, Chao Zhang
• Unsupervised Neural Generative Semantic Hashing Casper Hansen, Christian Hansen, Jakob Grue Simonsen, Stephen Alstrup, Christina Lioma
• Unsupervised Semantic Hashing with Pairwise Reconstruction Casper Hansen, Christian Hansen, Jakob Grue Simonsen, Stephen Alstrup, Christina Lioma
• Joint-modal Distribution-based Similarity Hashing for Large-scale Unsupervised Deep Cross-modal Retrieval Song Liu, Shengsheng Qian, Yang Guan, Jiawei Zhan, Long Ying
• High-order nonlocal Hashing for unsupervised cross-modal retrieval Peng-Fei Zhang, Yadan Luo, Zi Huang, Xin-Shun Xu, Jingkuan Song
• Unsupervised Discrete Hashing with Affinity Similarity Sheng Jin, Hongxun Yao, Qin Zhou, Yao Liu, Jianqiang Huang, Xiansheng Hua
• Robust Unsupervised Cross-modal Hashing for Multimedia Retrieval Miaomiao Cheng, Liping Jing, Michael K. Ng

🏷 VLDB

• Multi-Probe LSH: Efficient Indexing for High-Dimensional Similarity Search Q. Lv, W. Josephson, Z. Wang, M. Charikar, K. Li
• Streaming Similarity Search over one Billion Tweets using Parallel Locality-Sensitive Hashing Narayanan Sundaram, Aizana Turmukhametova, Nadathur Satish, Todd Mostak, Piotr Indyk, Samuel Madden and Pradeep Dubey
• Locality-Sensitive Hashing for Earthquake Detection: A Case Study of Scaling Data-Driven Science Kexin Rong, Clara E. Yoon, Karianne J. Bergen, Hashem Elezabi,Peter Bailis, Philip Levis, Gregory C. Beroza

🏷 Video Retrieval

• Self-Supervised Video Hashing with Hierarchical Binary Auto-encoder Jingkuan Song, Hanwang Zhang, Xiangpeng Li, Lianli Gao, Meng Wang, Richang Hong
• Neighborhood Preserving Hashing for Scalable Video Retrieval Shuyan Li, Zhixiang Chen, Jiwen Lu, Xiu Li, and Jie Zhou
• Neighborhood Preserving Hashing for Scalable Video Retrieval Shuyan Li, Zhixiang Chen, Jiwen Lu, Xiu Li, Jie Zhou
• Central Similarity Quantization for Efficient Image and Video Retrieval Li Yuan, Tao Wang, Xiaopeng Zhang, Francis EH Tay, Zequn Jie, Wei Liu, Jiashi Feng
• Central Similarity Hashing for Efficient Image and Video Retrieval Li Yuan, Tao Wang, Xiaopeng Zhang, Zequn Jie, Francis EH Tay, Jiashi Feng
• Targeted Attack for Deep Hashing based Retrieval Jiawang Bai, Bin Chen, Yiming Li, Dongxian Wu, Weiwei Guo, Shu-tao Xia, En-hui Yang
• Self-Supervised Video Hashing via Bidirectional Transformers Shuyan Li, Xiu Li, Jiwen Lu, Jie Zhou

🏷 WWW

• LSH Forest: Self-Tuning Indexes for Similarity Search M. Bawa, T. Condie, P. Ganesan
• High-order nonlocal Hashing for unsupervised cross-modal retrieval Peng-Fei Zhang, Yadan Luo, Zi Huang, Xin-Shun Xu, Jingkuan Song

🏷 Weakly Supervised

• Weakly Supervised Deep Image Hashing through Tag Embeddings Vijetha Gattupalli, Yaoxin Zhuo, Baoxin Li
• Deep Semantic Text Hashing with Weak Supervision Suthee Chaidaroon, Travis Ebesu, Yi Fang